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Research ArticleImaging

The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT

Trygve Halsne, Ebba Glørsen Müller, Ann-Eli Spiten, Alexander Gul Sherwani, Lars Tore Gyland Mikalsen, Mona-Elisabeth Revheim and Caroline Stokke
Journal of Nuclear Medicine Technology September 2018, 46 (3) 253-259; DOI: https://doi.org/10.2967/jnmt.117.204586
Trygve Halsne
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
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Ebba Glørsen Müller
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Ann-Eli Spiten
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Alexander Gul Sherwani
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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Lars Tore Gyland Mikalsen
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
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Mona-Elisabeth Revheim
2Department of Nuclear Medicine, Oslo University Hospital, Oslo, Norway
3Institute of Clinical Medicine, University of Oslo, Oslo, Norway; and
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Caroline Stokke
1Department of Diagnostic Physics, Oslo University Hospital, Oslo, Norway
4Department of Life Sciences and Health, Oslo Metropolitan University, Oslo, Norway
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Abstract

Because of better precision and intercompatibility, the use of lean body mass (LBM) as a mass estimate in the calculation of SUV (SUL) has become more common in research and clinical studies today. Thus, the equations deciding this quantity must be those that best represent the actual body composition. Methods: LBM was calculated for 44 patients examined with 18F-FDG PET/CT scans by means of the sex-specific predictive equations of James and Janmahasatians, and the results were validated using a CT-based method that makes use of the eyes-to-thighs CT component of the PET/CT aquisition and segments the voxels according to Hounsfield units. Intraclass correlation coefficients and Bland–Altman plots were used to assess agreement between the various methods. Results: A mean difference of 6.3 kg (limits of agreement, −15.1 to 2.5 kg) between Embedded Image and Embedded Image was found. This difference was higher than the 3.8-kg difference observed between Embedded Image and Embedded Image (limits of agreement, −12.5 to 4.9 kg). In addition, Embedded Image had a higher intraclass correlation coefficient with Embedded Image (0.87; 95% confidence interval, 0.60–0.94) than with Embedded Image (0.77; 95% confidence interval, 0.11–0.91). Thus, we obtained better agreement between Embedded Image and Embedded Image. Although there were exceptions, the overall effect on SUL was that Embedded Image was greater than Embedded Image. Conclusion: We have verified the reliability of the suggested Embedded Image formulas with a CT-derived reference standard. Compared with the more traditional and available set of Embedded Image equations, the Embedded Image formulas tend to yield better agreement.

  • standardized uptake value
  • lean body mass
  • PET/CT
  • CT-based segmentation

Footnotes

  • Published online Mar. 29, 2018.

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Journal of Nuclear Medicine Technology: 46 (3)
Journal of Nuclear Medicine Technology
Vol. 46, Issue 3
September 1, 2018
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The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT
Trygve Halsne, Ebba Glørsen Müller, Ann-Eli Spiten, Alexander Gul Sherwani, Lars Tore Gyland Mikalsen, Mona-Elisabeth Revheim, Caroline Stokke
Journal of Nuclear Medicine Technology Sep 2018, 46 (3) 253-259; DOI: 10.2967/jnmt.117.204586
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Keywords

  • standardized uptake value
  • lean body mass
  • PET/CT
  • CT-based segmentation
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The Effect of New Formulas for Lean Body Mass on Lean-Body-Mass–Normalized SUV in Oncologic 18F-FDG PET/CT
Trygve Halsne, Ebba Glørsen Müller, Ann-Eli Spiten, Alexander Gul Sherwani, Lars Tore Gyland Mikalsen, Mona-Elisabeth Revheim, Caroline Stokke
Journal of Nuclear Medicine Technology Sep 2018, 46 (3) 253-259; DOI: 10.2967/jnmt.117.204586

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